Tan Bui–Thanh

3.0k total citations
58 papers, 2.0k citations indexed

About

Tan Bui–Thanh is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Tan Bui–Thanh has authored 58 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computational Mechanics, 14 papers in Statistical and Nonlinear Physics and 12 papers in Statistics, Probability and Uncertainty. Recurrent topics in Tan Bui–Thanh's work include Advanced Numerical Methods in Computational Mathematics (20 papers), Model Reduction and Neural Networks (14 papers) and Computational Fluid Dynamics and Aerodynamics (14 papers). Tan Bui–Thanh is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (20 papers), Model Reduction and Neural Networks (14 papers) and Computational Fluid Dynamics and Aerodynamics (14 papers). Tan Bui–Thanh collaborates with scholars based in United States, Singapore and Mexico. Tan Bui–Thanh's co-authors include Karen Willcox, Omar Ghattas, M. Damodaran, Georg Stadler, James L. Martin, Omar Ghattas, Leszek Demkowicz, Bart van Bloemen Waanders, Jesse Chan and Norbert Heuer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and Journal of Computational Physics.

In The Last Decade

Tan Bui–Thanh

53 papers receiving 1.8k citations

Peers

Tan Bui–Thanh
Comparison fields: 5 of 81
  • Statistical and Nonlinear Physics 965
  • Computational Mechanics 806
  • Statistics, Probability and Uncertainty 692
  • Computational Theory and Mathematics 255
  • Artificial Intelligence 239
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Citations per field, relative to Tan Bui–Thanh
Tan Bui–Thanh · 1×
Citations per year, relative to Tan Bui–Thanh
Tan Bui–Thanh · 1×

Countries citing papers authored by Tan Bui–Thanh

Since Specialization
Citations

This map shows the geographic impact of Tan Bui–Thanh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tan Bui–Thanh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tan Bui–Thanh more than expected).

Fields of papers citing papers by Tan Bui–Thanh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tan Bui–Thanh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tan Bui–Thanh. The network helps show where Tan Bui–Thanh may publish in the future.

Co-authorship network of co-authors of Tan Bui–Thanh

This figure shows the co-authorship network connecting the top 25 collaborators of Tan Bui–Thanh. A scholar is included among the top collaborators of Tan Bui–Thanh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tan Bui–Thanh. Tan Bui–Thanh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 1
5 1
6 1
7 5
8 3
9 18
10 1
11
Solving Forward and Inverse Problems Using Autoencoders.
4
12 34
13
Construction and Analysis of an HDG Method for Incompressible Magnetohydrodynamics
2
14 30
15 36
16 222
17 30
18 39
19 15
20 193

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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